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AI-Powered Orchestration-as-a-Service for 6G Networks: The 6G-CLOUD View

  • Jesus Perez-Valero*
  • , Gines Garcia-Aviles
  • , Antonio Skarmeta
  • , Tao Chen
  • *Corresponding author for this work
  • University of Murcia

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

As 6G networks grow more complex, managing resources and orchestrating services across diverse, dynamic, and energy-efficient environments becomes challenging. This paper presents a programmable Orchestration-as-a-Service (OaaS) Framework from the 6G-Cloud project that enables dynamic, scalable, and intelligent orchestration. The framework separates service orchestration from resource orchestration, supports network service–agnostic management, and integrates AI-driven optimization, digital twins (DT), and Cloud Continuum technologies. Finally, we demostrate the functionality and feasibility of the proposed architecture through an early-stage implementation, where an AI-powered use case for dynamic resource orchestration is validated, showing significant improvements in power efficiency and proactive resource scaling compared to baseline methods.

Original languageEnglish
Pages (from-to)33-39
Number of pages7
JournalIEEE Communications Standards Magazine
Volume10
Issue number2
DOIs
Publication statusPublished - 2026
MoE publication typeA1 Journal article-refereed

Funding

This work was supported by European Commission through the SNS JU Project 6G-CLOUD under Grant 101139073.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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